About: Feasibility of a 5G-based robot-assisted remote ultrasound system for cardiopulmonary assessment of COVID-19 patients

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About: Feasibility of a 5G-based robot-assisted remote ultrasound system for cardiopulmonary assessment of COVID-19 patients Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Feasibility of a 5G-based robot-assisted remote ultrasound system for cardiopulmonary assessment of COVID-19 patients
Creator	Zhao, Yan Wang, Jing Author, Corresponding Hong, Jun Huang, Haijun Zhou, Xianlong Chen, Legao Chen, Shuangxi Cui, Ailin Peng, Chengzhong Shao, Fei Tong, Weiwei Xiong, Linfei Ye, Ruizhong
Source	Elsevier; Medline; PMC
abstract	Abstract Background Traditional methods for cardiopulmonary assessment of Coronavirus Disease 2019 (COVID-19) patients pose risks to, both, patients and examiners. This necessitates a remote examination of such patients without sacrificing information quality. Research Question Assess the feasibility of a 5G-based robot-assisted remote ultrasound system in examining COVID-19 patients and establish an examination protocol for telerobotic ultrasound scanning. Study Design and Methods Twenty-three COVID-19 patients were included and divided into two groups. Twelve were non-severe cases, and 11 were severe cases. All patients underwent a 5G-based robot-assisted remote ultrasound system examination of the lungs and heart following an established protocol. Distribution characteristics and morphology of the lung and surrounding tissue lesions, left ventricular ejection fraction (LVEF), ventricular area ratio, pericardial effusion, and examination-related complications were recorded. Bilateral lung lesions were evaluated by lung ultrasound score (LUS). Results The remote ultrasound system successfully and safely performed cardiopulmonary examinations of all patients. Peripheral lung lesions were clearly evaluated. Severe cases had significantly more diseased regions [median (interquartile range), 6.0 (2.0-11.0) vs. 1.0 (0.0-2.8)] and higher LUSs [12.0 (4.0-24.0) vs. 2.0 (0.0-4.0)] than non-severe cases (both, P < 0.05 ). One non-severe case (8.3%, 95%CI, 1.5% to 35.4%) and three severe cases (27.3%, 95%CI, 9.7% to 56.6%) were complicated by pleural effusions. Four severe cases (36.4%, 95%CI, 15.2% to 64.6%) were complicated by pericardial effusions (vs 0% of non-severe cases, P < 0.05). No patients had significant examination-related complications. Interpretation 5G-based robot-assisted remote ultrasound system is feasible, and effectively obtains ultrasound characteristics for cardiopulmonary assessment of COVID-19 patients. By following established protocols and considering medical history, clinical manifestations, and laboratory markers, it might help to evaluate the severity of COVID-19 remotely.
has issue date	2020-07-09(xsd:dateTime)
bibo:doi	10.1016/j.chest.2020.06.068
bibo:pmid	32653568
has license	els-covid
sha1sum (hex)	026c67fbf8b3376219803e892742e0e50b21f8dc
schema:url	https://doi.org/10.1016/j.chest.2020.06.068
resource representing a document's title	Feasibility of a 5G-based robot-assisted remote ultrasound system for cardiopulmonary assessment of COVID-19 patients
has PubMed Central identifier	PMC7347315
has PubMed identifier	32653568
schema:publication	Chest
resource representing a document's body	covid:026c67fbf8b3376219803e892742e0e50b21f8dc#body_text
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